Specialist - Data Engineering

Data Quality Automation Engineers 12 resources Purpose Move the organization from manual governance to automated governance Responsibilities Automated inventory updates Automated reporting Automated exception analysis Rule monitoring dashboards Risk scoring implementation API integrations Required Skills Python SQL Reporting tools Data engineering Desired Skills AIassisted analytics Workflow automation Other Details Work within an agile team to remediate Data Quality gaps while designing to deliver a proactive governed endto end ADS data ecosystem with automated controls clear ownership real-time monitoring and scalable governance Works with technology partners and a diverse set of stakeholders to identify and close gaps in data management standards adherence negotiates paths forward and helps identify and communicate solutions to complex data problems leveraging knowledge of information systems techniques and processes Implement and maintain data quality frameworks and techniques in large data warehouse environments to ensure data integrity Codes complex solutions to integrate clean transform and control data builds processes supporting data transformation data structures metadata data quality controls dependency and workload management assembles complex data sets and communicates required information for deployment

Mandatory Skills : Informatica DATA Quality, MySQL, Python